A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
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No-code machine learning development tools
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Rather than positioning education as a supplementary feature, DURALUMEN Trading Center integrates learning resources as a ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...
The school education landscape in India is experiencing a transformative moment, underpinned by a concerted effort to ...
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